/**
 * Copyright 2019-2020 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include <stdio.h>
#include <map>
#include <memory>
#include "gtest/gtest.h"
#include "proto/om.pb.h"

#define protected public
#define private public
#include "common/graph_comm.h"
#include "common/pass_manager.h"
#include "common/configuration.h"
#include "common/util/op_info_util.h"
#include "graph/compute_graph.h"
#include "graph/debug/ge_attr_define.h"
#include "graph/ge_tensor.h"
#include "graph/op_desc.h"
#include "graph/op_kernel_bin.h"
#include "graph/utils/attr_utils.h"
#include "graph/utils/graph_utils.h"
#include "graph/utils/op_desc_utils.h"
#include "graph/utils/tensor_utils.h"
#include "graph_optimizer/ub_fusion/buffer_fusion.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_eltwise_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_multi_output_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_reduce_elemwise_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_segment_elemwise_fusion_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_conv_dequant_quant_pass.h"
#include "graph_optimizer/ub_fusion/tbe_pass/tbe_conv_dequant_pass.h"

#undef protected
#undef private
using namespace std;
using namespace domi;
using namespace fe;
using namespace ge;

class UB_FUSION_UT_CONV_DEQUANT_QUANT : public testing::Test {
 public:
  using AttrDefMap = ::google::protobuf::Map<::std::string, AttrDef>;

 protected:
  static void SetUpTestCase() { std::cout << "UB fusion SetUp" << std::endl; }
  static void TearDownTestCase() { std::
    cout <<"UB fusion TearDown" << std::endl; }

  virtual void SetUp() {
  }

  virtual void TearDown() {}
  void SetPattern(ge::OpDescPtr opdef, string optype) {
    auto key_pattern = opdef->GetName() + "_pattern";
    ge::AttrUtils::SetStr(opdef, key_pattern, optype);
  }

  void SetTvmType(ge::OpDescPtr opdef) {
    ge::AttrUtils::SetInt(opdef, ge::ATTR_NAME_IMPLY_TYPE,static_cast<int64_t>(domi::ImplyType::TVM)); }

/******************************
*
*           X      filter
*           |        |
*              conv
*               |
* deq_scale--dequant
*               |
*             quant
*               |
*             quant1
*
*******************************/
  void BuildGraph(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
    OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Convolution");
    SetPattern(quant0, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(quant0);
    SetTvmType(quant1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant0->AddInputDesc(out_desc);
    quant0->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr quant_node = graph->AddNode(quant0);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

/******************************
*
*           X      filter
*           |        |
*              conv
*               |
* deq_scale--dequant--conv
*               |
*             quant
*               |
*             quant1
*
*******************************/
  void BuildGraph2(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant", "Dequant");
    OpDescPtr quant = std::make_shared<OpDesc>("quant", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    OpDescPtr conv1 = std::make_shared<OpDesc>("conv1", "Convolution");
    SetPattern(conv, "Convolution");
    SetPattern(conv1, "Convolution");
    SetPattern(quant, "quant");
    SetPattern(dequant, "dequant");
    SetTvmType(conv);
    SetTvmType(conv1);
    SetTvmType(dequant);
    SetTvmType(quant);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    conv1->AddInputDesc(out_desc);
    conv1->AddInputDesc(out_desc);
    conv1->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant->AddInputDesc(out_desc);
    quant->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(conv1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr conv1_node = graph->AddNode(conv1);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr quant_node = graph->AddNode(quant);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(conv1_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

/******************************
*
*      X      filter    bias
*      |        |        |
*              conv
*               |
* deq_scale--dequant
*               |
*             quant
*               |
*             quant1
*
*******************************/
  void BuildGraph3(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
    OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Convolution");
    SetPattern(quant0, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(quant0);
    SetTvmType(quant1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant0->AddInputDesc(out_desc);
    quant0->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr quant_node = graph->AddNode(quant0);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }
  
/******************************
*
*      X      filter    bias
*      |        |        |
*              conv
*               |
* deq_scale--dequant
*           |       |
*         quant   data
*           |
*         quant1
*
*******************************/
  void BuildGraph5(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data4 = std::make_shared<OpDesc>("DATA4", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
    OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Convolution");
    SetPattern(quant0, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(quant0);
    SetTvmType(quant1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data4->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant0->AddInputDesc(out_desc);
    quant0->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data4_node = graph->AddNode(data4);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr quant_node = graph->AddNode(quant0);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(1),
        data4_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

/******************************
*
*      X      filter    bias
*      |        |        |
*              conv
*               |
* deq_scale--dequant
*           |       |
*         quant   data
*           |
*         quant1
*
*******************************/
void BuildHasOriNodesGraph(ComputeGraphPtr graph) {
  OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
  OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
  OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
  OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
  OpDescPtr data4 = std::make_shared<OpDesc>("DATA4", fe::DATA);
  OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
  OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
  OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
  OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
  SetPattern(conv, "Convolution");
  SetPattern(quant0, "quant");
  SetPattern(quant1, "quant");
  SetPattern(dequant, "dequant");
  SetTvmType(conv);
  SetTvmType(dequant);
  SetTvmType(quant0);
  SetTvmType(quant1);
  // add descriptor
  vector<int64_t> dim(4, 4);
  GeShape shape(dim);
  GeTensorDesc out_desc(shape);
  std::vector<std::string> original_names;
  original_names.push_back("conv");
  original_names.push_back("quant0");
  ge::AttrUtils::SetListStr(dequant,
                            ge::ATTR_NAME_DATA_DUMP_ORIGIN_OP_NAMES,
                            original_names);
  ge::AttrUtils::SetStr(out_desc,
                        ge::ATTR_NAME_DATA_DUMP_ORIGIN_NAME,
                        "conv");
  ge::AttrUtils::SetInt(out_desc,
                        ge::ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX,
                        0);
  ge::AttrUtils::SetStr(out_desc,
                        ge::ATTR_NAME_DATA_DUMP_ORIGIN_DATA_TYPE,
                        "DT_FLOAT");
  ge::AttrUtils::SetStr(out_desc, ge::ATTR_NAME_DATA_DUMP_ORIGIN_FORMAT,
                        "NCHW");
  data->AddOutputDesc(out_desc);
  data3->AddOutputDesc(out_desc);
  data1->AddOutputDesc(out_desc);
  data2->AddOutputDesc(out_desc);
  data4->AddInputDesc(out_desc);
  conv->AddInputDesc(out_desc);
  conv->AddInputDesc(out_desc);
  conv->AddInputDesc(out_desc);
  conv->AddOutputDesc(out_desc);
  dequant->AddInputDesc(out_desc);
  dequant->AddInputDesc(out_desc);
  dequant->AddOutputDesc(out_desc);
  dequant->AddOutputDesc(out_desc);
  quant0->AddInputDesc(out_desc);
  quant0->AddOutputDesc(out_desc);
  quant1->AddInputDesc(out_desc);
  quant1->AddOutputDesc(out_desc);
  AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
  std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
  AttrUtils::SetListInt(conv, "ub_atomic_params", params);
  conv->SetWorkspaceBytes({0});
  AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
  AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
  AttrUtils::SetInt(quant1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
  NodePtr data_node = graph->AddNode(data);
  NodePtr data3_node = graph->AddNode(data3);
  NodePtr data1_node = graph->AddNode(data1);
  NodePtr data2_node = graph->AddNode(data2);
  NodePtr data4_node = graph->AddNode(data4);
  NodePtr conv_node = graph->AddNode(conv);
  NodePtr dequant_node = graph->AddNode(dequant);
  NodePtr quant_node = graph->AddNode(quant0);
  NodePtr quant1_node = graph->AddNode(quant1);
  const char tbe_bin[] = "tbe_bin";
  vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
  ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
          conv_node->GetName(), std::move(buffer));
  conv_node->GetOpDesc()->SetExtAttr(
          OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
  GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
                      conv_node->GetInDataAnchor(0));
  GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
                      conv_node->GetInDataAnchor(1));
  GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
                      conv_node->GetInDataAnchor(2));
  GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
                      dequant_node->GetInDataAnchor(0));
  GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
                      dequant_node->GetInDataAnchor(1));
  GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
                      quant_node->GetInDataAnchor(0));
  GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(1),
                      data4_node->GetInDataAnchor(0));
  GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
                      quant1_node->GetInDataAnchor(0));
}


  /******************************
*
*          X  filter  bias
*           \   |   /
*             conv  ->  data
*               | 
* deq_scale--dequant  -> data5
*               |
*             quant
*               |
*             quant1
*
*******************************/
  void BuildGraph6(ComputeGraphPtr graph, int32_t reluflag) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data4 = std::make_shared<OpDesc>("DATA4", fe::DATA);
    OpDescPtr data5 = std::make_shared<OpDesc>("DATA5", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
    OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Convolution");
    SetPattern(quant0, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(quant0);
    SetTvmType(quant1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data4->AddInputDesc(out_desc);
    data5->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant0->AddInputDesc(out_desc);
    quant0->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data4_node = graph->AddNode(data4);
    NodePtr data5_node = graph->AddNode(data5);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr quant_node = graph->AddNode(quant0);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(1),
        data4_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(1),
        data5_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

/******************************
*
*      X      filter    bias
*      |        |        |
*              conv
*               |
* deq_scale--dequant
*               |
*             leakyrelu
*               |
*             quant
*               |
*             quant1
*
*******************************/
  void BuildGraph7(ComputeGraphPtr graph) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
    OpDescPtr leakyrelu = std::make_shared<OpDesc>("leakyrelu", "Eltwise");
    OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Convolution");
    SetPattern(quant0, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetPattern(leakyrelu, "ElemWise");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(leakyrelu);
    SetTvmType(quant0);
    SetTvmType(quant1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant0->AddInputDesc(out_desc);
    quant0->AddOutputDesc(out_desc);
    leakyrelu->AddInputDesc(out_desc);
    leakyrelu->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr leakyrelu_node = graph->AddNode(leakyrelu);
    NodePtr quant_node = graph->AddNode(quant0);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        leakyrelu_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(leakyrelu_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

/***************************
 *
 *       x    filter  bias
 *       |      |      |
 *            conv
 *              |
 *  deq_scale--dequant
 *                |
 *               relu
 *             |      |
 *           data   quant
 *                    |
 *                  quant1
 ****************************/
  void BuildGraph8(ComputeGraphPtr graph) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data4 = std::make_shared<OpDesc>("DATA4", fe::DATA);
    OpDescPtr data5 = std::make_shared<OpDesc>("DATA5", fe::DATA);
    OpDescPtr data6 = std::make_shared<OpDesc>("DATA6", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant", "Dequant");
    OpDescPtr relu = std::make_shared<OpDesc>("leakyrelu", "Eltwise");
    OpDescPtr quant = std::make_shared<OpDesc>("quant", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Convolution");
    SetPattern(quant, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetPattern(relu, "ElemWise");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(quant);
    SetTvmType(quant1);
    SetTvmType(relu);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data4->AddOutputDesc(out_desc);
    data5->AddInputDesc(out_desc);
    data6->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    relu->AddInputDesc(out_desc);
    relu->AddOutputDesc(out_desc);
    relu->AddOutputDesc(out_desc);
    quant->AddInputDesc(out_desc);
    quant->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);

    NodePtr data_node = graph->AddNode(data);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data4_node = graph->AddNode(data4);
    NodePtr data5_node = graph->AddNode(data5);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr quant_node = graph->AddNode(quant);
    NodePtr quant1_node = graph->AddNode(quant1);
    NodePtr relu_node = graph->AddNode(relu);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        relu_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(relu_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(relu_node->GetOutDataAnchor(1),
        data5_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

/******************************
*
*      X      filter    bias
*      |        |        |
*              deconv
*               |
* deq_scale--dequant
*               |
*             quant
*               |
*             quant1
*
*******************************/
  void BuildGraph9(ComputeGraphPtr graph) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("deconv", "Conv2DBackpropInputD");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
    OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Conv2d_backprop_input");
    SetPattern(quant0, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(quant0);
    SetTvmType(quant1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant0->AddInputDesc(out_desc);
    quant0->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr quant_node = graph->AddNode(quant0);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

/******************************
*
*      X      filter    bias
*      |        |        |
*              conv
*               |
* deq_scale--dequant
*               |
*             leakyrelu
*               |
*             quant
*               |
*             quant1
*
*******************************/
  void BuildGraph10(ComputeGraphPtr graph) {
    OpDescPtr data = std::make_shared<OpDesc>("DATA0", fe::DATA);
    OpDescPtr data3 = std::make_shared<OpDesc>("DATA3", fe::DATA);
    OpDescPtr data1 = std::make_shared<OpDesc>("DATA1", fe::DATA);
    OpDescPtr data2 = std::make_shared<OpDesc>("DATA2", fe::DATA);
    OpDescPtr conv = std::make_shared<OpDesc>("conv", "Convolution");
    OpDescPtr dequant = std::make_shared<OpDesc>("dequant0", "Dequant");
    OpDescPtr leakyrelu = std::make_shared<OpDesc>("PRelu0", "PRelu");
    OpDescPtr quant0 = std::make_shared<OpDesc>("quant0", "Quant");
    OpDescPtr quant1 = std::make_shared<OpDesc>("quant1", "Quant");
    SetPattern(conv, "Convolution");
    SetPattern(quant0, "quant");
    SetPattern(quant1, "quant");
    SetPattern(dequant, "dequant");
    SetPattern(leakyrelu, "ElemWise");
    SetTvmType(conv);
    SetTvmType(dequant);
    SetTvmType(leakyrelu);
    SetTvmType(quant0);
    SetTvmType(quant1);
    // add descriptor
    vector<int64_t> dim(4, 4);
    GeShape shape(dim);
    GeTensorDesc out_desc(shape);
    data->AddOutputDesc(out_desc);
    data3->AddOutputDesc(out_desc);
    data1->AddOutputDesc(out_desc);
    data2->AddOutputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddInputDesc(out_desc);
    conv->AddOutputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddInputDesc(out_desc);
    dequant->AddOutputDesc(out_desc);
    quant0->AddInputDesc(out_desc);
    quant0->AddOutputDesc(out_desc);
    leakyrelu->AddInputDesc(out_desc);
    leakyrelu->AddOutputDesc(out_desc);
    quant1->AddInputDesc(out_desc);
    quant1->AddOutputDesc(out_desc);
    AttrUtils::SetInt(conv, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    std::vector<int64_t> params = {0, 0, 0, 0, 0, 1, 0, 1};
    AttrUtils::SetListInt(conv, "ub_atomic_params", params);
    conv->SetWorkspaceBytes({0});
    AttrUtils::SetInt(dequant, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant0, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    AttrUtils::SetInt(quant1, FE_IMPLY_TYPE, fe::EN_IMPL_HW_TBE);
    NodePtr data_node = graph->AddNode(data);
    NodePtr data3_node = graph->AddNode(data3);
    NodePtr data1_node = graph->AddNode(data1);
    NodePtr data2_node = graph->AddNode(data2);
    NodePtr conv_node = graph->AddNode(conv);
    NodePtr dequant_node = graph->AddNode(dequant);
    NodePtr leakyrelu_node = graph->AddNode(leakyrelu);
    NodePtr quant_node = graph->AddNode(quant0);
    NodePtr quant1_node = graph->AddNode(quant1);
    const char tbe_bin[] = "tbe_bin";
    vector<char> buffer(tbe_bin, tbe_bin+strlen(tbe_bin));
    ge::OpKernelBinPtr tbe_kernel_ptr = std::make_shared<ge::OpKernelBin>(
        conv_node->GetName(), std::move(buffer));
    conv_node->GetOpDesc()->SetExtAttr(
        OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel_ptr);
    GraphUtils::AddEdge(data_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data1_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(data3_node->GetOutDataAnchor(0),
        conv_node->GetInDataAnchor(2));
    GraphUtils::AddEdge(conv_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(data2_node->GetOutDataAnchor(0),
        dequant_node->GetInDataAnchor(1));
    GraphUtils::AddEdge(dequant_node->GetOutDataAnchor(0),
        leakyrelu_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(leakyrelu_node->GetOutDataAnchor(0),
        quant_node->GetInDataAnchor(0));
    GraphUtils::AddEdge(quant_node->GetOutDataAnchor(0),
        quant1_node->GetInDataAnchor(0));
  }

};


TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass01) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);
  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convdequant0quant0") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass02) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph2(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() != "convdequantquant") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }

  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass03) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph3(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  // BufferFusion(graph, graph_out);
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);

  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convdequant0quant0") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }

  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass05) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph5(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;

  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);

  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convdequant0quant0") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}


TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass06) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph6(graph_out, 1);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;

  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);

  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() != "convdequant0quant0") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass07) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph7(graph_out);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;

  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);

  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convdequant0leakyreluquant0") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass08) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph8(graph_out);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
   std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;

  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);

  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convdequantleakyreluquant") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass11) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph9(graph_out);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;

  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);

  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Conv2DBackpropInputD" &&
        node->GetName() == "deconvdequant0quant0") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass10) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildGraph10(graph_out);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
    std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
    std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;

  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);

  id = 0;
  int find = 0;
  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion result" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
      ", type:" << node->GetOpDesc()->GetType() << endl;
    cerr << "name:" <<  node->GetName() << endl;
    if (node->GetOpDesc()->GetType() == "Convolution" &&
        node->GetName() == "convdequant0PRelu0quant0") {
      find = 1;
    }
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  EXPECT_EQ(find, 1);
}

TEST_F(UB_FUSION_UT_CONV_DEQUANT_QUANT, tbe_conv_dequant_quant_pass_has_oriname) {
  ComputeGraphPtr graph_out = std::make_shared<ComputeGraph>("test");
  BuildHasOriNodesGraph(graph_out);
  graph_out->TopologicalSorting();
  graph_out->Dump();
  std::shared_ptr<GraphComm> graph_comm_ptr = std::make_shared<GraphComm>("engineName");
  graph_comm_ptr->Initialize();
  std::shared_ptr<ScopeAllocator> scope_allocator_ptr =
          std::make_shared<ScopeAllocator>();
  std::shared_ptr<FusionPassManager> fusion_pass_mgr_ptr = std::make_shared<FusionPassManager>();
  std::shared_ptr<FusionPriorityManager> fusion_priority_mgr_ptr =
          std::make_shared<FusionPriorityManager>("engineName", fusion_pass_mgr_ptr,nullptr);
  std::shared_ptr<BufferFusion> sub_graph_optimizer_ptr =
          std::make_shared<BufferFusion>(graph_comm_ptr, scope_allocator_ptr, fusion_pass_mgr_ptr, fusion_priority_mgr_ptr);
  uint32_t id = 0;

  cerr << endl;
  cerr << "UB_FUSION_UT_CONV_DEQUANT_QUANT UB fusion before" << endl;
  for (auto &node : graph_out->GetDirectNode()) {
    cerr << "id:" << id << endl;
    uint32_t scope_id = 0;
    cerr << "name: " << node->GetName() <<
         ", type:" << node->GetOpDesc()->GetType() << endl;
    if (AttrUtils::GetInt(node->GetOpDesc(), SCOPE_ID_ATTR, scope_id)) {
      cerr << "scope id : " << scope_id << endl;
    }
    id++;
  }
  sub_graph_optimizer_ptr->engine_name_ = fe::AI_CORE_NAME;
  // find sub-graphs that match UB fusion pattern
  sub_graph_optimizer_ptr->MatchFusionPatternFromGraph(*graph_out);

  // create fused Graph, and merge matched sub-graphs into fusion ops
  sub_graph_optimizer_ptr->BuildFusionGraph(*graph_out);
}
